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Soil Moisture Modelling with Limited ISMN Data | Remote Sensing #Sciencefather #Researcherawards

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Introduction Soil moisture is a key component of Earth’s critical zone and influences diverse processes in hydrology, agriculture, and ecosystem stability. In regions where long-term ground-based monitoring is not feasible, numerical models supported by short-term in situ observations can provide a reliable alternative for estimating soil moisture dynamics. Remote sensing precipitation datasets further support this modelling approach, especially in data-scarce environments. The present research focuses on integrating limited in situ observations with numerical modelling and satellite precipitation products to better characterize the long-term soil moisture behaviour in the Northern Territory, Australia . Importance of Soil Moisture in Environmental and Hydrological Research Soil moisture plays a fundamental role in governing infiltration, runoff, evapotranspiration , and vegetation health, making it a central variable for environmental modelling. In semi-arid and tropical savannah ...
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Chromium Coating Spectroscopy Review | #Sciencefather #Researcherawards

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Introduction The evolution of chromium coating technologies has been increasingly shaped by the application of vibrational spectroscopy, which provides detailed structural and mechanistic insights into coating formation and performance. Early research efforts focused heavily on chemical processes using hexavalent chromium precursors, but environmental and health concerns have driven a transition toward trivalent chromium systems. Vibrational spectroscopy, especially when integrated with complementary analytical tools such as synchrotron infrared microspectroscopy, has played a pivotal role in elucidating coating architectures, chemical gradients, and reaction pathways. Despite significant advancements in understanding Cr(VI)-based conversion coatings, the electrochemical deposition of Cr(III) remains comparatively underexplored, leaving several mechanistic gaps in current literature. Structural Insights into Cr(VI) Conversion Coatings Extensive vibrational spectroscopy studies on Cr(VI...
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🏆 Most Shared Article Award | Honoring Global Research Impact 🌍 #Sciencefather #Researcherawards

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Introduction The Most Shared Article Award celebrates the spirit of innovation, communication, and global collaboration in science . It acknowledges research that has transcended traditional academic boundaries, capturing the imagination of scholars and the public alike. By recognizing articles that achieve widespread visibility and engagement, this award highlights how impactful ideas can travel beyond journals and spark global scientific dialogue. The Power of Research Visibility Visibility in research is not just a measure of popularity — it reflects influence, reach, and academic value. When a study is widely shared, it extends the boundaries of knowledge, allowing others to learn, adapt, and expand upon it. Through sharing, researchers contribute to a collective pool of innovation where every new idea builds on the previous one, accelerating scientific progress across disciplines. Global Collaboration and Knowledge Exchange Science thrives on collaboration, and shared res...
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Accuracy Enhancement AI-Based River Water-Level Prediction Model | #Sciencefather #Researcherawards

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                          Introduction Global warming has evolved into one of the most pressing climate crises of the 21st century, extending beyond a simple rise in global temperatures. Its far-reaching impacts include increasing occurrences of extreme weather phenomena, especially in Asia. In regions such as Korea and the ASEAN member states , the escalation in the frequency and intensity of extreme rainfall events has significantly amplified flood-related disasters. These large-scale hydrological events highlight the necessity for advanced flood-forecasting models that can provide early warnings and support mitigation strategies. With artificial intelligence (AI) emerging as a promising alternative to traditional physics-based methods, researchers are focusing on developing AI-driven systems that can predict floods with higher accuracy and speed using limited datasets. Impact of Climate Change on Hydrological Systems...
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Online Mapping from Weight Matching Odometry & Dynamic Point Cloud Filtering #Sciencefather #Researcherawards

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Introduction Efficient locomotion and autonomous navigation depend heavily on accurate mapping and clear perception of dynamic environments. The integration of LiDAR , IMU , and GNSS sensors leads to more robust odometry solutions, but challenges remain due to noise, environmental dynamics, and rapidly changing surroundings. This research addresses these problems by combining weight matching LiDAR-IMU-GNSS odometry with advanced point cloud filtering techniques based on pseudo-occupancy grids . By tackling both sensor fusion accuracy and object-level dynamic point removal, the proposed approach significantly improves online mapping quality and real-time reliability. High-Accuracy Odometry through Weight Matching The proposed odometry framework refines pose estimation by incorporating weight feature point matching, which leverages both geometric structures and reflectance intensity similarities. This dual-feature alignment provides superior robustness against environmental instabili...
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Advanced Magnetic Coupler & Gate Metal Defect Screening Innovations | UAV Charging #Sciencefather #Researcherawards

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Introduction The reliability of Gallium Nitride (GaN) High-Electron-Mobility Transistors (HEMTs) is becoming increasingly crucial as demand rises for high-power and high-frequency applications. Although GaN devices provide superior switching performance, power efficiency, and thermal stability compared to conventional silicon-based devices, their reliability remains a key challenge—particularly when gate-related defects compromise long-term stability. Traditional High-Temperature Gate Bias (HTGB) testing helps identify failure-inducing defects but is costly and time-consuming, especially when screening is only performed after full device packaging. This creates financial risks, including wasted manufacturing resources, and reputational risk if defective devices reach the market. Therefore, the need for efficient wafer-level screening methods is urgent, enabling earlier defect detection and improved yield before entering expensive packaging steps. GaN HEMT Reliability Challenges GaN HEM...
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An Efficient Magnetic Coupler for UAV Wireless Charging | #Sciencefather #Researcherawards

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Introduction Wireless charging systems are emerging as a key enabling technology for the autonomous operation of unmanned aerial vehicles (UAVs). In this research, an efficient magnetic coupler is proposed to achieve tight magnetic coupling , precise alignment, and reduced energy loss during wireless charging. The integration of advanced sensing and mechanical design allows the UAV to autonomously align with the charging pad , enhancing both reliability and performance. Through optimized magnetic and circuit design, this study aims to establish a robust and efficient wireless power transfer framework for UAV applications. Magnetic Coupler Design and Optimization The proposed magnetic coupler utilizes a dual-coil tightly coupled structure that maximizes energy transfer efficiency while minimizing magnetic leakage . Optimization is performed using ANSYS Maxwell to ensure high coupling coefficients and minimal electromagnetic interference . This design contributes significantly t...
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